[qttk] Quantitative Trading ToolKit - Quant trading library developed by Conlan Scientific Open-Source Research Cohort
- Consistent Date-indexed
pandas
objects are the core data structure. - Transparent Test cases are clear and serve as an additional layer of documentation. Type hints are used liberally.
- Performant Execution speed tests are built into test cases. Only the fastest functions get published.
Install from PyPI using pip install qttk
. Try the following sample.
# Indicators module contains core qttk functionality
from qttk.indicators import compute_rsi
# qttk is 'batteries included' with simulated data
from qttk.utils.sample_data import load_sample_data
# Load a ticker from csv into dataframe
df = load_sample_data('AWU')
print(df.head())
rsi = compute_rsi(df)
print(rsi[-10:])
- Check out some demos on GitHub.
- Feel free to create a bug or feature request ticket: qttk issue tracker.